The Dimpled Manifold Model of Adversarial Examples in Machine Learning - Research Paper Explained

The Dimpled Manifold Model of Adversarial Examples in Machine Learning - Research Paper Explained

Yannic Kilcher via YouTube Direct link

- Intro & Overview

1 of 9

1 of 9

- Intro & Overview

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

The Dimpled Manifold Model of Adversarial Examples in Machine Learning - Research Paper Explained

Automatically move to the next video in the Classroom when playback concludes

  1. 1 - Intro & Overview
  2. 2 - The old mental image of Adversarial Examples
  3. 3 - The new Dimpled Manifold Hypothesis
  4. 4 - The Stretchy Feature Model
  5. 5 - Why do DNNs create Dimpled Manifolds?
  6. 6 - What can be explained with the new model?
  7. 7 - Experimental evidence for the Dimpled Manifold Model
  8. 8 - Is Goodfellow's claim debunked?
  9. 9 - Conclusion & Comments

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.